| Literature DB >> 32513171 |
Abdul Qader Khan1,2, Leyre Pernaute-Lau2,3, Aamer Ali Khattak4, Sanna Luijcx2, Berit Aydin-Schmidt2, Mubashir Hussain1, Taj Ali Khan1, Farees Uddin Mufti5, Ulrika Morris6.
Abstract
BACKGROUND: The spread of artemisinin resistance in the Greater Mekong Subregion of Southeast Asia poses a significant threat for current anti-malarial treatment guidelines globally. The aim of this study was to assess the current prevalence of molecular markers of drug resistance in Plasmodium falciparum in the four provinces with the highest malaria burden in Pakistan, after introducing artemether-lumefantrine as first-line treatment in 2017.Entities:
Keywords: Artemether–lumefantrine; Artemisinin-based combination therapy; Chloroquine; Drug resistance; P. falciparum coronin; P. falciparum kelch 13 propeller domain; Pakistan; Plasmodium falciparum; pfcrt; pfmdr1
Mesh:
Substances:
Year: 2020 PMID: 32513171 PMCID: PMC7282094 DOI: 10.1186/s12936-020-03276-8
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Fig. 1Map of Pakistan showing the geographical location of the 10 different sample collection sites. Pakistan is highlighted in green in the top left panel; red stars identify locations of reported Artemisinin resistance. In the enlarged map of Pakistan, red triangles indicate the 10 different sample collection sites in four provinces
Plasmodium falciparum samples collected from 10 sites in Pakistan, 2018–2019
| Province | City | PCR-confirmed | Sex (%male %female) | Median age (years [IQRa]) |
|---|---|---|---|---|
| Khyber Pakhtunkhwa | Karak | 10 | 60/40 | 35 [10–45] |
| Kohat | 8 | 50/50 | 22 [14–28] | |
| Dera Ismeel Khan | 10 | 90/10 | 25 [16–30] | |
| Bannu | 13 | 85/15 | 25 [7–36] | |
| Hangu | 5 | 40/60 | 25 [20–35] | |
| FR Khyber | 10 | 80/20 | 8 [4–20] | |
| FR DI Khan | 12 | 83/17 | 13 [9–29] | |
| Punjab | Dera Ghazi Khan | 53 | 60/40 | 30 [15–40] |
| Sindh | Karachi | 41 | 60/40 | 25 [15–37] |
| Baluchistan | Quetta | 17 | 76/24 | 28 [21–40] |
| Total | 179 | 68/32 | 25 [2–60] |
a IQR, interquartile range
Prevalence of SNPs in pfk13, pfcoronin, pfcrt, and pfmdr1 in Pakistan, 2018–2019
| Gene | N | Wild Typea N (%) | Mutantb N (%) | Mixedc N (%) |
|---|---|---|---|---|
| 121 | 121 (100) | 0 (0) | 0 (0) | |
| 149 | 149 (100) | 0 (0) | 0 (0) | |
| 179 | 137 (76.5) | 29 (16.2) | 13 (7.3) | |
| 172 | 143 (83.1) | 18 (10.5) | 11 (6.4) | |
| 173 | 173 (100) | 0 (0) | 0 (0) | |
| 179 | 3 (1.7) | 164 (91.2) | 12 (6.7) |
a Wild type alleles include Pfmdr1 N86, Y184, D1246, and Pfcrt K76
b Mutant alleles include Pfmdr1 86Y, 184F, 1246Y, and Pfcrt 76T
c Mixed alleles include Pfmdr1 N86Y, Y184F, D1246Y and Pfcrt K76T mixed infections
Fig. 2Distribution of molecular markers of drug resistance across four provinces of Pakistan, 2018–2019. Clustered, stacked bar chart showing the prevalence of single nucleotide polymorphisms associated with drug resistance in pfmdr1 and pfcrt. Black and striped bars show the frequency of infections carrying alleles associated with reduced sensitivity to lumefantrine i.e., pfmdr1 N86, 184F, D1246, and pfcrt K76. The number of samples genotyped is shown in brackets
Prevalence of polymorphisms in pfmdr1 and pfcrt before and after introduction of AL in Pakistan
| 2005–2007 (N = 240) [ | 2007 (N = 28) [ | 2011 (N = 171) [ | 2018–2019 (N = 179) [current study] | |
|---|---|---|---|---|
| N86 | 43% | 67% | 80% | 77% |
| 86Y | 45% | 33%a | 4% | 16% |
| N86Y (mixed) | 12% | Not stateda | 16% | 7% |
| Y184 | ND | ND | 75% | 83% |
| 184F | ND | ND | 0% | 11% |
| Y184F (mixed) | ND | ND | 25% | 6% |
| D1246 | ND | 100% | 100% | 100% |
| 1246Y | ND | 0% | 0% | 0% |
| D1246 | ND | 0% | 0% | 0% |
| | 99.6% (231/232)b | ND | 100% | ND |
| Multiple copy | 0.4% (1/232)b | ND | 0% | ND |
| K76 | 7% | 0% | 0% | 2% |
| 76T | 93% | 100% | 100% | 91% |
| K76T (mixed) | 0% | 0% | 0% | 7% |
a Proportion of infections containing pfmdr1 86Y, proportion of which were mixed infections not stated
b (n/number of samples successfully analysed)
ND, not determined; CNV, copy number variation